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Stahnke DN, Nied C, Oliveira MLGD, Costa JSDD. Trends in hospital admissions and mortality from diabetes mellitus in Rio Grande do Sul: historical series 2000-2020. Rev Gaucha Enferm 2023; 44:e20230103. [PMID: 37971111 DOI: 10.1590/1983-1447.2023.20230103.en] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 06/28/2023] [Indexed: 11/19/2023] Open
Abstract
OBJECTIVE To analyze the trends of hospital admissions and deaths from diabetes mellitus in the 18 host municipalities of the 19 regional health coordination offices and in Rio Grande do Sul, 2000-2020. METHOD Ecological study with secondary data collected in the Hospital Information System, the Mortality Information System, and the Brazilian Institute of Geography and Statistics, from 2000-2020. Coefficients were standardized using the direct method and Prais-Winsten regression analysis. RESULTS A downward trend wasfound in the coefficients of hospitalizations for diabetes mellitus in most cities and states. In 2020, for both areas, hospitalizations for diabetes mellitus were below the average of the period. The mortality trend remained stationary in almost all municipalities and in the state. CONCLUSION There was evidence of a decrease in hospitalizations and stationary mortality by DM in most municipalities analyzed, possibly due to the policies and actions implemented in the period, despite the aging of the population.
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Affiliation(s)
- Douglas Nunes Stahnke
- Universidade do Vale do Rio dos Sinos (Unisinos). Programa de Pós-Graduação em Saúde Coletiva. São Leopoldo, Rio Grande do Sul, Brasil
| | - Camila Nied
- Universidade do Vale do Rio dos Sinos (Unisinos). Programa de Pós-Graduação em Saúde Coletiva. São Leopoldo, Rio Grande do Sul, Brasil
| | | | - Juvenal Soares Dias da Costa
- Universidade do Vale do Rio dos Sinos (Unisinos). Programa de Pós-Graduação em Saúde Coletiva. São Leopoldo, Rio Grande do Sul, Brasil
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den Hartog SJ, Roozenbeek B, van der Bij S, Amini M, van Leeuwen N, Boersma E, Dirven CMF, Dippel DWJ, Lingsma HF. Standardized mortality ratios for regionalized acute cardiovascular care. BMC Health Serv Res 2023; 23:951. [PMID: 37670336 PMCID: PMC10481617 DOI: 10.1186/s12913-023-09883-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 08/07/2023] [Indexed: 09/07/2023] Open
Abstract
BACKGROUND Standardized Mortality Ratios (SMRs) are case-mix adjusted mortality rates per hospital and are used to evaluate quality of care. However, acute care is increasingly organized on a regional level, with more severe patients admitted to specialized hospitals. We hypothesize that the current case-mix adjustment insufficiently captures differences in case-mix between non-specialized and specialized hospitals. We aim to improve the SMR by adding proxies of disease severity to the model and by calculating a regional SMR (RSMR) for acute cerebrovascular disease (CVD) and myocardial infarction (MI). METHODS We used data from the Dutch National Basic Registration of Hospital Care. We selected all admissions from 2016 to 2018. SMRs and RSMRs were calculated by dividing the observed in-hospital mortality by the expected in-hospital mortality. The expected in-hospital mortality was calculated using logistic regression with adjustment for age, sex, socioeconomic status, severity of main diagnosis, urgency of admission, Charlson comorbidity index, place of residence before admission, month/year of admission, and in-hospital mortality as outcome. RESULTS The IQR of hospital SMRs of CVD was 0.85-1.10, median 0.94, with higher SMRs for specialized hospitals (median 1.12, IQR 1.00-1.28, 71%-SMR > 1) than for non-specialized hospitals (median 0.92, IQR 0.82-1.07, 32%-SMR > 1). The IQR of RSMRs was 0.92-1.09, median 1.00. The IQR of hospital SMRs of MI was 0.76-1.14, median 0.98, with higher SMRs for specialized hospitals (median 1.00, IQR 0.89-1.25, 50%-SMR > 1 versus median 0.94, IQR 0.74-1.11, 44%-SMR > 1). The IQR of RSMRs was 0.90-1.08, median 1.00. Adjustment for proxies of disease severity mostly led to lower SMRs of specialized hospitals. CONCLUSION SMRs of acute regionally organized diseases do not only measure differences in quality of care between hospitals, but merely measure differences in case-mix between hospitals. Although the addition of proxies of disease severity improves the model to calculate SMRs, real disease severity scores would be preferred. However, such scores are not available in administrative data. As a consequence, the usefulness of the current SMR as quality indicator is very limited. RSMRs are potentially more useful, since they fit regional organization and might be a more valid representation of quality of care.
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Affiliation(s)
- Sanne J den Hartog
- Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
- Department of Public Health, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
- Dutch Hospital Data, Utrecht, The Netherlands.
- Erasmus MC, Department of Neurology, Department of Radiology and Nuclear Medicine, Department of Public Health, University Medical Center, Room Ee2240, 3000 CA, Rotterdam, P.O. Box 2040, the Netherlands.
| | - Bob Roozenbeek
- Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | | | - Marzyeh Amini
- Department of Public Health, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Nikki van Leeuwen
- Department of Public Health, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Eric Boersma
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Clemens M F Dirven
- Department of Neurosurgery, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Diederik W J Dippel
- Department of Neurology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
| | - Hester F Lingsma
- Department of Public Health, Erasmus MC, University Medical Center, Rotterdam, The Netherlands
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Shimoni Z, Dusseldorp N, Cohen Y, Barnisan I, Froom P. The Norton scale is an important predictor of in-hospital mortality in internal medicine patients. Ir J Med Sci 2023; 192:1947-1952. [PMID: 36520351 DOI: 10.1007/s11845-022-03250-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022]
Abstract
BACKGROUND The Norton scale, a marker of patient frailty used to predict the risk of pressure ulcers, but the predictive value of the Norton scale for in-hospital mortality after adjustment for a wide range of demographic, and abnormal admission laboratory test results shown in themselves to have a high predictive value for in-hospital mortality is unclear. AIM The study aims to determine the value of the Norton scale and the presence of a urinary catheter in predicting in hospital mortality. METHODS The study population included all acutely admitted adult patients in 2020 through October 2021 to one of three internal medicine departments at the Laniado Hospital, a regional hospital with 400 beds in Israel. The main objective was to (a) identify the variables associated with the Norton Scale and (b) determine whether it predicts in-hospital mortality after adjustment for these variables. RESULTS The Norton scale was associated with an older age, female gender, presence of a urinary catheter, and abnormal laboratory tests. The odds of in-hospital mortality in those with intermediate, high, and very high Norton scale risk groups were 3.10 (2.23-3.56), 6.48 (4.02-10.46), and 12.27 (7.37-20.44), respectively, after adjustment for the remaining predictors. Adding the Norton scale and the presence of a urinary catheter to the prediction logistic regression model that included age, gender, and abnormal laboratory test results increased the c-statistic from 0.870 (0.864-0.876) to 0.908 (0.902-0.913). CONCLUSIONS The Norton scale and presence of a urinary catheter are important predictors of in-hospital mortality in acutely hospitalized adults in internal medicine departments.
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Affiliation(s)
- Zvi Shimoni
- The Adelson School Of Medicine, Ariel University, Ariel, Israel
- Sanz Medical Center, Laniado Hospital, Netanya, 4244916, Israel
| | | | - Yael Cohen
- Nursing Department, Laniado Hospital, Netanya, Israel
| | | | - Paul Froom
- Clinical Utility Department, Sanz Medical Center, Laniado Hospital, Netanya, 4244916, Israel.
- School of Public Health, University of Tel Aviv, Tel Aviv, Israel.
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Shimoni Z, Froom P, Silke B, Benbassat J. The presence of a urinary catheter is an important predictor of in-hospital mortality in internal medicine patients. J Eval Clin Pract 2022; 28:1113-1118. [PMID: 35510815 DOI: 10.1111/jep.13694] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 04/17/2022] [Accepted: 04/18/2022] [Indexed: 12/01/2022]
Abstract
RATIONALE AND OBJECTIVE Mortality rates are used to assess the quality of hospital care after appropriate adjustment for case-mix. Urinary catheters are frequent in hospitalized adults and might be a marker of patient frailty and illness severity. However, we know of no attempts to estimate the predictive value of indwelling catheters for specific patient outcomes. The objective of the present study was to (a) identify the variables associated with the presence of a urinary catheter and (b) determine whether it predicts in-hospital mortality after adjustment for these variables. METHODS The study population included all acutely admitted adult patients in 2020 (exploratory cohort) and January-October 2021 (validation cohort) to internal medicine, cardiology and intensive care departments at the Laniado Hospital, a regional hospital with 400 beds in Israel. There were no exclusion criteria. The predictor variables were the presence of a urinary catheter on admission, age, gender, comorbidities and admission laboratory test results. We used bivariate and multivariate logistic regression to test the associations between the presence of a urinary catheter and mortality after adjustment for the remaining independent variables on admission. RESULTS The presence of a urinary catheter was associated with other independent variables. In 2020, the odds of in-hospital mortality in patients with a urinary catheter before and after adjustment for the remaining predictors were 14.3 (11.6-17.7) and 6.05 (4.78-7.65), respectively. Adding the presence of a urinary catheter to the prediction logistic regression model increased its c-statistic from 0.887 (0.880-0.894) to 0.907 (0.901-0.913). The results of the validation cohort reduplicated those of the exploratory cohort. CONCLUSIONS The presence of a urinary catheter on admission is an important and independent predictor of in-hospital mortality in acutely hospitalized adults in internal medicine departments.
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Affiliation(s)
- Zvi Shimoni
- Department of Internal Medicine B, Laniado Hospital, Netanya, Israel.,Ruth and Bruce Rappaport School of Medicine, Technion University, Haifa, Israel
| | - Paul Froom
- Clinical Utility Department, Sanz Medical Center, Laniado Hospital, Netanya, Israel.,School of Public Health, University of Tel Aviv, Tel Aviv-Yafo, Israel
| | - Bernard Silke
- Division of Internal Medicine, St. James' Hospital, Dublin, Ireland
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Elgwairi E, Yang S, Nugent K. Association of the All-Patient Refined Diagnosis-Related Groups Severity of Illness and Risk of Mortality Classification with Outcomes. South Med J 2021; 114:668-674. [PMID: 34599349 DOI: 10.14423/smj.0000000000001306] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVES Diagnosis-related groups (DRGs) is a patient classification system used to characterize the types of patients that the hospital manages and to compare the resources needed during hospitalization. The DRG classification is based on International Classification of Diseases diagnoses, procedures, demographics, discharge status, and complications or comorbidities and compares hospital resources and outcomes used to determine how much Medicare pays the hospital for each "product/medical condition." The All-Patient Refined DRG (APR-DRG) incorporated severity of illness (SOI) and risk of mortality (ROM) into the DRG system to adjust for patient complexity to compare resource utilization, complication rates, and lengths of stay. METHODS This study included 18,478 adult patients admitted to a tertiary care center in Lubbock, Texas during a 1-year period. We recorded the APR-DRG SOI and ROM and some clinical information on these patients, including age, sex, admission shock index, admission glucose and lactate levels, diagnoses based on International Classification of Diseases, Tenth Revision discharge coding, length of stay, and mortality. We compared the levels of SOI and ROM across this clinical information. RESULTS As the levels of SOI and ROM increase (which indicates increased disease severity and risk of mortality), age, glucose levels, lactate levels, shock index, length of stay, and mortality increased significantly (P < 0.001). Multiple logistic regression analysis demonstrated that each unit increase in ROM and SOI level was significantly associated with an 11.45 and a 10.37 times increase in the odds of in-hospital mortality, respectively. The C-statistics for the corresponding models are 0.947 and 0.929, respectively. When both ROM and SOI were included in the model, the magnitudes of increase in odds of in-hospital mortality were 5.61 and 1.17 times for ROM and SOI, respectively. The C-statistic is 0.949. CONCLUSIONS This study indicates that the APR-DRG SOI and ROM scores provide a classification system that is associated with mortality and correlates with other clinical variables, such as the shock index and lactate levels, which are available on admission.
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Affiliation(s)
- Emadeldeen Elgwairi
- From the Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, and the Department of Biostatistics, Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | - Shengping Yang
- From the Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, and the Department of Biostatistics, Pennington Biomedical Research Center, Baton Rouge, Louisiana
| | - Kenneth Nugent
- From the Department of Internal Medicine, Texas Tech University Health Sciences Center, Lubbock, and the Department of Biostatistics, Pennington Biomedical Research Center, Baton Rouge, Louisiana
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Froom P, Shimoni Z, Benbassat J, Silke B. A simple index predicting mortality in acutely hospitalized patients. QJM 2021; 114:99-104. [PMID: 33079191 DOI: 10.1093/qjmed/hcaa293] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 09/10/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Mortality rates used to evaluate and improve the quality of hospital care are adjusted for comorbidity and disease severity. Comorbidity, measured by International Classification of Diseases codes, do not reflect the severity of the medical condition, that requires clinical assessments not available in electronic databases, and/or laboratory data with clinically relevant ranges to permit extrapolation from one setting to the next. AIM To propose a simple index predicting mortality in acutely hospitalized patients. DESIGN Retrospective cohort study with internal and external validation. METHODS The study populations were all acutely admitted patients in 2015-16, and in January 2019-November 2019 to internal medicine, cardiology and intensive care departments at the Laniado Hospital in Israel, and in 2002-19, at St. James Hospital, Ireland. Predictor variables were age and admission laboratory tests. The outcome variable was in-hospital mortality. Using logistic regression of the data in the 2015-16 Israeli cohort, we derived an index that included age groups and significant laboratory data. RESULTS In the Israeli 2015-16 cohort, the index predicted mortality rates from 0.2% to 32.0% with a c-statistic (area under the receiver operator characteristic curve) of 0.86. In the Israeli 2019 validation cohort, the index predicted mortality rates from 0.3% to 38.9% with a c-statistic of 0.87. An abbreviated index performed similarly in the Irish 2002-19 cohort. CONCLUSIONS Hospital mortality can be predicted by age and selected admission laboratory data without acquiring information from the patient's medical records. This permits an inexpensive comparison of performance of hospital departments.
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Affiliation(s)
- P Froom
- From the Clinical Utility Department, Sanz Medical Center, Laniado Hospital, Netanya 4244916, Israel
- School of Public Health, University of Tel Aviv, Israel
| | - Z Shimoni
- Department of Internal Medicine B, Laniado Hospital, Netanya 4244916, Israel
- Ruth and Bruce Rappaport School of Medicine, Haifa, Israel
| | - J Benbassat
- Department of Medicine (retired), Hadassah University Hospital, Jerusalem, Israel
| | - B Silke
- Division of Internal Medicine, St. James' Hospital, Dublin 8, Ireland
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